Evidence map›Paper›PMID 39599675›Full record

Observational studyNutrients2024

The Relationship Between Dietary Patterns, Cognition, and Cardiometabolic Health in Healthy, Older Adults.

Felicity M Simpson, Alexandra Wade, Ty Stanford, Maddison L Mellow, Clare E Collins, Karen J Murphy, Hannah A D Keage, Montana Hunter, Nicholas Ware, Daniel Barker and 2 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Felicity M SimpsonFunctional Neuroimaging Laboratory, School of Psychological Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-7179-9660
Alexandra WadeAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.
Ty StanfordAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.
Maddison L MellowAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-0514-8261
Clare E CollinsSchool of Health Sciences, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0003-3298-756X
Karen J MurphyAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-2589-1319
Hannah A D KeageJustice and Society, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-6814-4997
Montana HunterSchool of Psychology and Vision Sciences, University of Leicester, Leicester LE1 7RH, UK.ORCID 0000-0003-2704-5623
Nicholas WareFunctional Neuroimaging Laboratory, School of Psychological Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
Daniel BarkerHealthy Minds Research Program, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia.
Ashleigh E SmithAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0001-6316-2259
Frini KarayanidisFunctional Neuroimaging Laboratory, School of Psychological Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.

Funding

National Health and Medical Research Council GNT1171313
6 · The paper itself

Abstract

backgroundHealthy dietary patterns can support the maintenance of cognition and brain health in older age and are negatively associated with cardiometabolic risk. Cardiometabolic risk factors are similarly important for cognition and may play an important role in linking diet to cognition.

aimThis study aimed to explore the relationship between dietary patterns and cognition and to determine whether cardiometabolic health markers moderate these relationships in older adulthood.

designA cross-sectional analysis of observational data from the baseline of the ACTIVate study.

participantsThe cohort included 426 cognitively normal adults aged 60-70 years.

methodsThe Australian Eating Survey (AES) Food Frequency Questionnaire was used to collect data on usual dietary intake, along with additional questions assessing intake of dietary oils. Principal component analysis (PCA) was applied to reduce the dimensionality of dietary data. Cardiometabolic risk was quantified using the metabolic syndrome severity score (MetSSS). Tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB) were used to derive composite scores on four cognitive domains: processing speed, executive function, short-term memory, and long-term memory.

resultsThree dietary patterns were identified using PCA: a plant-dominant diet, a Western-style diet, and a meat-dominant diet. After controlling for age, sex, total years of education, energy intake, and moderate-to-vigorous physical activity (MVPA), there was a small, negative association between the meat-dominant diets and long-term memory. Subsequent moderation analysis indicated that MetSSS significantly moderated this relationship.

conclusionsFindings highlight the link between diet, cardiometabolic health, and cognitive function in older, cognitively healthy adults. However, longitudinal studies are needed to confirm observations and evaluate the dynamics of diet, cardiometabolic health, and cognitive function over time.

Indexed as

Cardiometabolic Risk FactorsCognitionDietAgedAustraliaCross-Sectional StudiesDiet, HealthyDiet SurveysFeeding BehaviorFemaleHumansMaleMetabolic SyndromeMiddle AgedNeuropsychological Testscardiometabolic healthdementia preventiondietary patternshealthy cognitive ageing

Identifiers

PMID39599675
PMCPMC11597354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.